Integration of lipidomics and metabolomics for in-depth understanding of cellular mechanism and disease progression

Publication date: Available online 18 December 2019Source: Journal of Genetics and GenomicsAuthor(s): Raoxu Wang, Bowen Li, Sin Man Lam, Guanghou ShuiAbstractMass spectrometry (MS)-based omics technologies are now widely used to profile small molecules in multiple matrices to confer comprehensive snapshots of cellular metabolic phenotypes. The metabolomes of cells, tissues and organisms comprise a variety of molecules including lipids, amino acids, sugars, organic acids, etc. Metabolomics mainly focus on the last three classes, while lipidomics has emerged as an independent omics owing to the complexities of the organismal lipidomes. The potential roles of lipids and small metabolites in disease pathogenesis have been widely investigated in various human diseases, but system-level understanding is largely lacking, which could be partly attributed to the insufficiency in terms of metabolite coverage and quantitation accuracy in current analytical technologies. While scientists are continuously striving to develop high-coverage omics approaches, integration of metabolomics and lipidomics is becoming an emerging approach to for mechanistic investigation. Integration of metabolome and lipidome offers a complete atlas of the metabolic landscape, enabling comprehensive network analysis to identify critical metabolic drivers in disease pathology, facilitating the study of interconnection between lipids and other metabolites in disease progression. In this review, we summarize omics-...
Source: Journal of Genetics and Genomics - Category: Genetics & Stem Cells Source Type: research